Databricks releases, every cloud
- Connect to Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Schedule data refreshes in Google Sheets (Public Preview)
Refreshes occur hourly, daily, or weekly.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Deploy Databricks apps from Git repositories (Beta)
Deploys from any branch, tag, or commit, without uploading files to the workspace.
- Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- Tag Databricks Apps (Public Preview)
Organize and categorize apps, but search is not supported.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Compute sizing for Databricks Apps is now generally available
Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
- New resource types for Databricks Apps
Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.
- Configure compute size for Databricks Apps (Public Preview)
Controls CPU, memory, and cost based on workload requirements.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.